Background: The transition from the home to college is a phase in which emerging adults shift toward more unhealthy eating and physical activity patterns, higher body mass indices, thus increasing risk of overweight/obesity. Currently, little is understood about how changing friendship networks shape weight gain behaviors. This paper describes the recruitment, data collection, and data analytic protocols for the SPARC (Social impact of Physical Activity and nutRition in College) study, a longitudinal examination of the mechanisms by which friends and friendship networks influence nutrition and physical activity behaviors and weight gain in the transition to college life.

Methods: The SPARC study aims to follow 1450 university freshmen from a large university over an academic year, collecting data on multiple aspects of friends and friendship networks. Integrating multiple types of data related to student lives, ecological momentary assessments (EMAs) are administered via a cell phone application, devilSPARC. EMAs collected in four 1-week periods (a total of 4 EMA waves) are integrated with linked data from web-based surveys and anthropometric measurements conducted at four times points (for a total of eight data collection periods including EMAs, separated by ~1 month). University databases will provide student card data, allowing integration of both time-dated data on food purchasing, use of physical activity venues, and geographical information system (GIS) locations of these activities relative to other students in their social networks.

Discussion: Findings are intended to guide the development of more effective interventions to enhance behaviors among college students that protect against weight gain during college.

The incidence of childhood obesity has become increasingly prevalent in the United States in recent years. The development of obesity at any age, but especially in adolescence, can have lasting negative effects in the form of cardiometabolic disease, increased incurred healthcare costs, and potential negative effects on quality of life. In recent years, a rising trend of obesity, in both adults and adolescents, has been observed in lower income and ethnic groups. Increased adiposity can be influenced by modifiable factors -(physical activity, caloric intake, or sleep) or by non-modifiable factors (ethnicity, genetic predispositions, and socioeconomic status). The influence of these factors can be observed in individuals of all ages, including infants. A common indicator of the development of childhood obesity is rapid weight gain (RWG) within an infant’s first year of life. The composition of the gut microbiome can act as a predictor for RWG and the development of childhood obesity. Infants are exposed to an immense microbial load when they are born and their gut microbiome is continually diversified through their method of feeding and the subsequent introduction to solid foods. While currently understudied, it is understood that cultural and socioeconomic factors influence the development of the gut microbiome, which is further explored in this analysis. The DNA from 51 fecal samples from infants ranging from 3 weeks to 12 months in age was extracted and sequenced using next-generation sequencing, and the resulting sequences were analyzed using QIIME 2. Results from alpha-diversity and beta-diversity metrics showed significant differences in the gut microbiome of infants when comparing groups based on baby race/ethnicity, household income, and mom’s education. These findings suggest the importance of sociodemographic characteristics in shaping the gut microbiome and suggest the importance of future studies including diverse populations in gut microbiome work.

In 2020, approximately 55% of households facing food insecurity participated in one or more of the three largest federal nutrition assistance programs. Food insecurity rates have been relatively unchanged since 2019 but federal nutrition assistance programs have continued to see a decline in participation. Many families meet the income guidelines to participate in both the Supplemental Nutrition Assistance Program (SNAP) and the Special Supplemental Nutrition Assistance Program for Women, Infants and Children (WIC) programs, yet almost half of those participants are not utilizing WIC. The WIC program is an essential safety net for low-income families to combat food insecurity and improve diet quality. The purpose of this study was to examine differences in household characteristics among families participating in SNAP only and households participating in both SNAP and WIC. Additionally, we examined potential barriers and facilitators to participating in WIC among WIC-eligible SNAP participants. Hispanics made up 40% of SNAP Only households and about 65% of SNAP and WIC. Households with a larger number of beneficiaries and those with an infant in the household were more likely to participate in both SNAP and WIC. The main barriers identified by respondents previously enrolled in WIC were a lack of knowledge regarding WIC eligibility and issues with appointments. The two most common misconceptions regarding WIC eligibility were being unaware that simultaneous enrollment in both programs was allowable, and being unaware that household members were still eligible for WIC services. For the facilitators toward WIC enrollment, more than half of respondents knew to enroll in WIC when they needed nutrition or breastfeeding assistance. Results from this study suggest the need for targeted outreach campaigns that highlight the possibility and benefits of dual participation in SNAP and WIC. Understanding how SNAP can increase enrollment in WIC demonstrates to policymakers the benefits of streamlining the certification process.